AI in Drug Discovery: What Do We Need for Being Successful?

Explore the critical factors for successful AI implementation in drug discovery through this symposium talk by Christoph Grebner, an Artificial Intelligence Scientist and Computational Chemist at Sanofi-Aventis. Delve into the challenges and opportunities of integrating machine learning techniques in pharmaceutical research. Gain insights into the latest advancements and practical considerations for leveraging AI to accelerate drug development processes. Learn about the key components necessary for effectively harnessing artificial intelligence in the pharmaceutical industry, including data quality, model selection, and interdisciplinary collaboration. Understand the potential impact of AI on various stages of drug discovery, from target identification to lead optimization. Discover strategies for overcoming common obstacles and maximizing the benefits of AI-driven approaches in drug research and development.